[HTML][HTML] Development of Push-Recovery control system for humanoid robots using deep reinforcement learning
This paper focuses on the push-recovery problem of bipedal humanoid robots affected by
external forces and pushes. Since they are structurally unstable, balance is the most …
external forces and pushes. Since they are structurally unstable, balance is the most …
Active balance control of humanoid locomotion based on foot position compensation
A foot positioning compensator is developed in this paper for a full-body humanoid to
retrieve its balance during continuous walking. An online Foot Position Compensator (FPC) …
retrieve its balance during continuous walking. An online Foot Position Compensator (FPC) …
Real-time nonlinear model predictive footstep optimization for biped robots
R Wittmann, AC Hildebrandt… - 2015 IEEE-RAS 15th …, 2015 - ieeexplore.ieee.org
A well known strategy in biped locomotion to prevent falling in the presence of large
disturbances is to modify next footstep positions of the robot. Solving this complex control …
disturbances is to modify next footstep positions of the robot. Solving this complex control …
Learning push recovery for a bipedal humanoid robot with dynamical movement primitives
D Luo, X Han, Y Ding, Y Ma, Z Liu… - 2015 IEEE-RAS 15th …, 2015 - ieeexplore.ieee.org
Maintaining the balance is always a challenge issue for bipedal humanoid robots in dealing
with various locomotive tasks to serve human society, especially when the real environment …
with various locomotive tasks to serve human society, especially when the real environment …
Closed-loop push recovery for inexpensive humanoid robots
Active balancing in autonomous humanoid robots is a challenging task due to the
complexity of combining a walking gait with dynamic balancing, vision and high-level …
complexity of combining a walking gait with dynamic balancing, vision and high-level …
Robust dynamic locomotion via reinforcement learning and novel whole body controller
We propose a robust dynamic walking controller consisting of a dynamic locomotion
planner, a reinforcement learning process for robustness, and a novel whole-body …
planner, a reinforcement learning process for robustness, and a novel whole-body …
Push recovery and active balancing for inexpensive humanoid robots
A Hosseinmemar - 2019 - mspace.lib.umanitoba.ca
Active balancing of a humanoid robot is a challenging task due to the complexity of
combining a walking gait, dynamic balancing, vision and high-level behaviors. My Ph. D …
combining a walking gait, dynamic balancing, vision and high-level behaviors. My Ph. D …
Ayak bileği stratejisi kullanarak Robotis-OP2 için itme kurtarma kontrol yöntemlerinin karşılaştırılması.
E Aslan, MA Arserim, A Uçar - Journal of the Faculty of …, 2024 - search.ebscohost.com
Comparison of push-recovery control methods for Robotics-OP2 using ankle strategy Page 1
Journal of the Faculty of Engineering and Architecture of Gazi University 39:4 (2024) 2551-2565 …
Journal of the Faculty of Engineering and Architecture of Gazi University 39:4 (2024) 2551-2565 …
İnsansı robot robotis-op2 için itme kurtarma kontrol yöntemlerinin karşılaştırılması
E Aslan, MA Arserim, A Uçar - Gazi Üniversitesi Mühendislik Mimarlık … - dergipark.org.tr
Comparison of push-recovery control methods for Robotics-OP2 using ankle strategy Page 1
Journal of the Faculty of Engineering and Architecture of Gazi University 39:4 (2024) 2551-2565 …
Journal of the Faculty of Engineering and Architecture of Gazi University 39:4 (2024) 2551-2565 …
[图书][B] Simulation and framework for the humanoid robot tigerbot
F Sze - 2018 - search.proquest.com
Walking humanoid robotics is a developing field. Different humanoid robots allow for
different kinds of testing. TigerBot is a new full-scale humanoid robot with seven degrees-of …
different kinds of testing. TigerBot is a new full-scale humanoid robot with seven degrees-of …